notebooks/inspect_vispro_visdialconv_eval_sets.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import json\n",
    "import sys\n",
    "import glob\n",
    "import matplotlib.pyplot as plt\n",
    "import pickle as pkl\n",
    "from pathlib import Path\n",
    "# % matplotlib inline\n",
    "sys.path.append(\"../\") # Append visdialch path\n",
    "import argparse\n",
    "import numpy as np\n",
    "from pprint import pprint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from typing import List"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "visdial_conv_dense_path = \"../../data/crowdsourced/visdial_1.0_val_dense_annotations_crowdsourced.json\"\n",
    "vispro_dense_path = \"../../data/vispro/visdial_1.0_val_dense_annotations_vispro.json\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def json_load(file_path):\n",
    "    with open(file_path, \"r\") as fb:\n",
    "        data = json.load(fb)\n",
    "    return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "dense_visdial_conv = json_load(visdial_conv_dense_path)\n",
    "dense_vispro = json_load(vispro_dense_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "97\n",
      "76\n"
     ]
    }
   ],
   "source": [
    "print(len(dense_visdial_conv))\n",
    "print(len(dense_vispro))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
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      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dense_vispro"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total vispro examples:  76\n",
      "Total visdialconv examples:  97\n"
     ]
    }
   ],
   "source": [
    "vispro_ids = [dense_eg['image_id'] for dense_eg in dense_vispro]\n",
    "\n",
    "num_vispro_examples = len(vispro_ids)\n",
    "print(\"Total vispro examples: \", len(vispro_ids))\n",
    "\n",
    "visdialconv_ids = [dense_eg['image_id'] for dense_eg in dense_visdial_conv]\n",
    "\n",
    "print(\"Total visdialconv examples: \", len(visdialconv_ids))\n",
    "\n",
    "num_visdialconv_examples = len(visdialconv_ids)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total common examples:  8\n",
      "Total vispro examples:  76\n",
      "Total visdialconv examples:  97\n",
      "Common % wrt vispro:  10.53\n",
      "Common % wrt visdialconv:  8.25\n"
     ]
    }
   ],
   "source": [
    "def intersection(lst1, lst2): \n",
    "    return list(set(lst1) & set(lst2)) \n",
    "\n",
    "\n",
    "common_ids = intersection(vispro_ids, visdialconv_ids)\n",
    "\n",
    "print(\"Total common examples: \", len(common_ids))\n",
    "\n",
    "num_common_examples = len(common_ids)\n",
    "\n",
    "\n",
    "print(\"Total vispro examples: \", len(vispro_ids))\n",
    "print(\"Total visdialconv examples: \", len(visdialconv_ids))\n",
    "\n",
    "print(\"Common % wrt vispro: \", round(num_common_examples/num_vispro_examples*100, 2))\n",
    "print(\"Common % wrt visdialconv: \", round(num_common_examples/num_visdialconv_examples*100, 2))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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